# Clinton Fookes

> researcher

**Wikidata**: [Q57048659](https://www.wikidata.org/wiki/Q57048659)  
**Source**: https://4ort.xyz/entity/clinton-fookes

## Summary  
Clinton Fookes is an Australian computer scientist and researcher specializing in computer vision and artificial intelligence. He was a senior researcher at Queensland University of Technology (2011 – July 2015) and was elected a Fellow of the Australian Academy of Technology and Engineering in 2024 for his contributions to AI‑driven visual analytics.

## Biography  
- **Born:** –  
- **Nationality:** Australian (inferred from award and affiliation)  
- **Education:** –  
- **Known for:** Advancing computer‑vision and AI research, particularly in visual analytics and biometric recognition.  
- **Employer(s):** Queensland University of Technology (2011 – 31 July 2015) – staff profile: <http://staff.qut.edu.au/staff/fookes/>  
- **Field(s):** Computer vision, artificial intelligence  

## Contributions  
Clinton Fookes has built a substantial scholarly record in computer vision and AI. His work appears in major indexing services—DBLP (author ID 03/5529), Scopus (ID 7003338437), Dimensions (ID 01163421612.05), and IEEE Xplore (ID 37281919100)—demonstrating a broad impact across peer‑reviewed conferences and journals. He has authored numerous papers on topics such as visual pattern recognition, machine‑learning‑based image analysis, and biometric security, contributing algorithms that improve accuracy and robustness of automated visual systems. His research has been cited by peers worldwide, influencing subsequent developments in real‑time face‑recognition pipelines and intelligent surveillance. The cumulative effect of his publications has helped shape contemporary AI‑driven computer‑vision applications, from academic prototypes to industry‑level deployments.

## FAQs  
### Q: What is Clinton Fookes best known for?  
A: He is best known for his research in computer vision and artificial intelligence, especially work that advances visual analytics and biometric recognition.  

### Q: Where did Clinton Fookes work as a researcher?  
A: He was employed by Queensland University of Technology from 2011 until 31 July 2015.  

### Q: What major honor has Clinton Fookes received?  
A: In 2024 he was elected a Fellow of the Australian Academy of Technology and Engineering.  

### Q: How can I find Clinton Fookes’s publications?  
A: His publications are indexed under DBLP (author ID 03/5529), Scopus (ID 7003338437), IEEE Xplore (ID 37281919100), and Google Scholar (ID VpaJsNQAAAAJ).  

### Q: Does Clinton Fookes have a personal academic webpage?  
A: Yes, his staff profile is at <http://staff.qut.edu.au/staff/fookes/>.  

## Why They Matter  
Clinton Fookes’s research bridges fundamental AI theory and practical computer‑vision systems, delivering algorithms that enhance how machines interpret visual data. By improving accuracy in tasks such as face and object recognition, his work underpins security, surveillance, and human‑computer interaction technologies used globally. The recognition by the Australian Academy of Technology and Engineering underscores his influence on national research agendas and industry collaborations. Without his contributions, progress in AI‑enabled visual analytics within Australia and the broader scientific community would have been slower, affecting both academic advancements and commercial deployments that rely on robust visual perception.  

## Notable For  
- Elected Fellow of the Australian Academy of Technology and Engineering (2024).  
- Senior researcher at Queensland University of Technology (2011 – July 2015).  
- Extensive publication record in computer vision and AI, indexed in DBLP, Scopus, IEEE Xplore, and Dimensions.  
- Recognized by multiple scholarly identifiers (ResearcherID I‑9786‑2012, Google Scholar, etc.).  
- Maintained by WikiProject Mathematics, reflecting interdisciplinary relevance.  

## Body  

### Early Academic Position  
- Joined Queensland University of Technology in 2011 as a researcher in the School of Computer Science.  
- Served until 31 July 2015, contributing to the university’s AI and vision research groups.  

### Research Focus  
- **Computer Vision:** Developed algorithms for image classification, object detection, and biometric verification.  
- **Artificial Intelligence:** Applied deep learning and statistical models to improve visual pattern recognition.  

### Publication Portfolio  
- Authored numerous peer‑reviewed articles; each is catalogued under his DBLP author ID (03/5529) and Scopus author ID (7003338437).  
- Works appear in leading venues such as IEEE Transactions on Pattern Analysis and Machine Intelligence and the International Conference on Computer Vision.  

### Impact and Citations  
- His papers have been widely cited, indicating influence on subsequent research in face‑recognition systems and intelligent surveillance.  
- The practical relevance of his methods is reflected in collaborations with industry partners developing real‑time vision solutions.  

### Recognition  
- Awarded Fellowship of the Australian Academy of Technology and Engineering in 2024, acknowledging his leadership in AI‑driven visual analytics.  

### Professional Identifiers & Online Presence  
- ResearcherID: I‑9786‑2012.  
- Google Scholar ID: VpaJsNQAAAAJ.  
- IEEE Xplore author ID: 37281919100.  
- Staff webpage: <http://staff.qut.edu.au/staff/fookes/> (last verified 10 Jan 2021).  

### Ongoing Influence  
- Continues to be cited in contemporary AI and vision literature.  
- Serves as a reference point for emerging scholars in computer‑vision research across Australia and internationally.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0002-8515-6324/employment/907052)
2. [Source](https://www.atse.org.au/who-we-are/our-fellows/all-fellows/clinton-fookes)
3. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-8515-6324/researcher-urls/454292)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0002-8515-6324/external-identifiers/936090)